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Overview

The Department of Health Information Management is at the forefront of revolutionizing health care through advanced technology and research. It encompasses a wide array of research domains, including mHealth (mobile health) and digital health, which leverage mobile and telecommunications technology to remotely deliver healthcare services and information, enhancing accessibility and efficiency.

The department's exploration into the natural language processing (NLP) of unstructured Electronic Health Records (EHRs) aims to harness critical data from clinical notes, improving patient care and supporting informed clinical decisions. Additionally, it focuses on medical imaging, utilizing machine learning and deep learning techniques to enhance the analysis of clinical images for more precise diagnoses and treatment plans. Our research is currently focusing on artificial intelligence (AI) in health and health care, aiming to transform patient care, diagnostics, treatment plans and health care management through AI algorithms and models. These efforts are complemented by the development of digital interventions, which employ digital platforms to implement therapeutic strategies for disease management and prevention.

By integrating AI, the department is not only innovating health care practices but also paving the way for a future where care is more personalized, predictive and preventive. Through its comprehensive research efforts, the department contributes significantly to the growth and evolution of health informatics, striving to improve patient outcomes and health care systems worldwide.

Research Areas

  • mhealth (mobile health)
  • digital health
  • artificial intelligence in health and health care
  • natural language processing
  • medical imaging informatics

Publications

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Research Opportunities

HIM Research Labs

Health and Rehabilitation Informatics (HARI) Lab

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Faculty:
Bambang Parmanto
Andi Saptono
Yong K. Choi

Research Focuses:

  • Digital Health Intervention, including (but not limited to): Telehealthcare, mHealth, Consumer Health Informatics, Use of Emerging Technologies in Health, Health care, and Rehabilitation.
  • Accessibility of Information Technology, including:
    • Access to the technology
    • Accessibility of the information/informatic resources
    • Access to care
  • AI for Health and Rehabilitation

Health and Explainable AI Research Laboratory (HexAI)

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Faculty: Ahmad P. Tafti

Research Focuses: 

  • Explainable AI (XAI) in Health care
  • Medical Image Analysis
  • Computational Orthopedics
  • Computational Pathology

Clinical Natural Language Processing and Artificial Intelligence Innovation Laboratory (PittNAIL)

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Faculty: Yanshan Wang

Research Focuses:

  • Clinical Natural Language Processing (NLP)
  • clinical research informatics
  • informatics infrastructure
  • translational research

Zhou Lab

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Faculty: Leming Zhou

Research Focuses:

  • Using computational technologies to improve health care quality and health service access.
    • The specific research topics and technologies include Machine Learning, Mobile Health, Computational Modeling, Bioinformatics, and Privacy and Security.
 

Choi Lab

Faculty: Yong K. Choi

Research Focuses:

  • Aging-in-Place Technologies: Designing and evaluating technology solutions that enable older adults to live independently and safely in their own homes.
  • AI for Personalized Care: Leveraging artificial intelligence to tailor health monitoring and intervention programs to the unique needs of each individual.
  • Human-Centered Design Practices: Employing a co-design approach that involves older adults and caregivers in the technology development process.